The execution of a successful enterprise imaging strategy provides a platform to acquire, retain, and achieve meaningful use of a wealth of clinical information that has previously been unmanaged. More specifically, it affords a unique opportunity to build an archive of clean and uniform imaging data that is being produced by as many as 40 different service lines within a typical healthcare organization.
Without a mandate for required data elements and uniform datasets, a vendor-neutral archive (VNA) established solely for the purpose of storing data becomes a very expensive missed opportunity. Without these principles, images may be retained, but meaningful use of the images becomes nearly impossible. Therefore, careful consideration must be given to data governance principles in the early stages of planning an enterprise imaging strategy, with particular attention paid to naming conventions and data requirements.
Naming conventions
To retrieve precise information from patient records, healthcare IT organizations first must learn to speak the right language, and naming conventions are that language. When planning naming conventions, consider what data components will comprise imaging study descriptions. The department where the images were acquired, the modality used to acquire the image, and an anatomical reference are common choices.
Kim Garriott, principal consultant of healthcare strategies, Logicalis Healthcare Solutions.With regard to anatomical references, decisions must also be made as to the granularity of anatomical descriptions that will be used. A dermatologist, for example, might need a greater level of granularity than the majority of other caregivers searching for images within the same patient's electronic health record (EHR).
Another important area of consideration is presentation, or how the images will be displayed to the viewing provider. If the image descriptions are displayed in a worklist format, for instance, the first characters within the naming description should be modality type or department -- something relevant to the end user.
Until recently, a standard vernacular of imaging names did not exist. Therefore, each organization developed its own internal vocabulary, including names for imaging and procedural studies. Over the past few years, however, the RSNA developed a comprehensive lexicon, RadLex, for the purpose of standardizing the indexing and retrieval of radiology information resources.
RadLex unifies and supplements other lexicons and standards, including the Systematized Nomenclature of Medicine -- Clinical Terms (SNOMED-CT), Logical Observation Identifiers Names and Codes (LOINC), and Digital Imaging and Communications in Medicine (DICOM). Although RadLex provided a turning point in the unification of naming conventions, it is focused strictly on radiology and does not reflect digital photography and other point-of-care imaging studies; thus additional data is required.
Data requirements
Determining the data that need to be associated with each set of images committed to a VNA must be accomplished early in the planning of an enterprise imaging implementation, well before the first image is presented for retention. Attention should be given to how each set of images, or each study, will be uniquely identified within the system.
In radiology, for example, each diagnostic imaging test is assigned a unique identifier called an accession number. This may be unique to radiology, but the same concept applies when thinking about imaging at the enterprise level.
Clearly, careful deliberation is needed when developing naming conventions. A standardized imaging study name should, for example, be a required data element during the acquisition process. Doing so at the point of acquisition ensures that imaging studies are consistently named and that caregivers can easily identify the images they are looking for from a worklist. Without proper naming, searching for images will become a point of frustration for the entire care team. Proper and uniform identifiers will also be commonly used in analytics queries.
If the imaging studies will need to be logically segregated in the VNA, for example, separating research imaging studies from imaging studies that will present within the patient's EHR, specific and uniform data elements will need to be assigned to indicate to which logical partition the study should be committed.
By establishing uniform naming conventions and datasets at the beginning of the enterprise imaging process, healthcare organizations save themselves tremendous work on the back end. The ultimate goal is not simply organization; it's the analysis of collected data to present meaningful, actionable information to caregivers in the right format, at the perfect time.
With such a well-planned, well-executed approach to acquiring, storing, and retrieving medical images, providers will be able to use predictive analytics to better assist physicians. Based on the patient's medical history and the physician's specialty and past clinical behavior, data analytics tools will soon be able to retrieve and compile the imaging studies and reports a caregiver will want to review during a patient's visit, presenting those images directly to the physician at the point of care -- the very essence of what meaningful use is all about.
Important considerations
Naming conventions matter: Establish data governance principles during the earliest stages of an enterprise imaging strategy, with particular care taken to uniformly identify naming conventions and data requirements that will work well in a data analytics environment.
Imagine the outcome: Details are the cornerstone of a well-executed enterprise imaging strategy, and those details, coupled with the ability to intelligently retrieve and analyze what has been collected, will deliver actionable results to improve both patient care and clinician workflow and satisfaction in the end.
Kim Garriott, a principal consultant of healthcare strategies for Logicalis Healthcare Solutions, helps healthcare clients develop thoughtful enterprise imaging strategies that maximize the value of their healthcare IT projects, ensuring the expected business outcome is achieved. Logicalis is an international IT solutions and managed services provider with a breadth of knowledge and expertise in communications and collaboration, data center and cloud services, and managed services. For more information, visit www.us.logicalis.com.
The comments and observations expressed herein are those of the author and do not necessarily reflect the opinions of AuntMinnie.com.
